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Ph.D. Recruitment: Machine Learning Supported Mu ... (No replies)
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Dr. Fanglin Che research group is currently recruiting at least one Ph.D. candidate, who will be working on the project related to machine learning supported multiscale and multi-physics simulations for computational heterogeneous catalysis.
The candidate(s) will apply machine learning approach combining with multi-scale and multi-physics modeling to facilitate the design of novel catalytic materials with tailored properties. The successful candidate(s) will develop data-driven multi-scale simulation skills (from atomic to continuum scale) for predicting catalytic material and reaction properties for the applications of plasma catalysis, electrocatalysis, and field-driven catalysis.
The successful candidate will be:
(1) Chemical Engineering or related Major in B.S. and/or M.S.
(2) GPA is over 3.2
(3) Have strong interests in Machine Learning and Computational Catalysis
(4) If the candidate has experience on machine learning, or density functional theory, or microkinetic model, or computational fluid dynamics will be a plus.
UMass Lowell is a rolling-based recruitment mechanism. If you are interested, please immediately send your CV, transcript, and personal statement, and TOEFL (or IEITS) to [email protected]
Dr. Fanglin Che research group is in the department of Chemical Engineering at University of Massachusetts Lowell. Website: https://sites.uml.edu/fanglin_che/
Dr. Fanglin Che research has published articles on Nature Catalysis, Nature Communications, JACS Au, etc. Please check Dr. Fanglin Che Google Scholar: https://scholar.google.com/citations?user=fiRHcIQAAAAJ&hl=en